IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v22n32001p313-336.html
   My bibliography  Save this article

Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks

Author

Listed:
  • Nghiep Nguyen

    (Middle Tennessee State University, Murfreesboro, TN)

  • Al Cripps

    (Middle Tennessee State University, Murfreesboro, TN)

Abstract

This paper compares the predictive performance of artificial neural networks (ANN) and multiple regression analysis (MRA) for single family housing sales. Multiple comparisons are made between the two data models in which the data sample size is varied, the funcional specifications is varied, and the temporal prediction is varied. We conclude that ANN performs better than MRA when a moderate to large data sample size is used. For our application, this "moderate to large data sample size" varied from 13% to 39% of the total data sample (506 to 1506 observations out of 3906 total observations). Our results give a plausible explanation why previous papers have obtained varied results when comparing MRA and ANN predictive performance for housing values.

Suggested Citation

  • Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336.
    • Handle: RePEc:jre:issued:v:22:n:3:2001:p:313-336
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol22n03/04.313_336.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goodman, Allen C., 1978. "Hedonic prices, price indices and housing markets," Journal of Urban Economics, Elsevier, vol. 5(4), pages 471-484, October.
    2. Linneman, Peter, 1980. "Some empirical results on the nature of the hedonic price function for the urban housing market," Journal of Urban Economics, Elsevier, vol. 8(1), pages 47-68, July.
    3. Grether, D. M. & Mieszkowski, Peter, 1974. "Determinants of real estate values," Journal of Urban Economics, Elsevier, vol. 1(2), pages 127-145, April.
    4. Palmquist, Raymond B., 1979. "Hedonic price and depreciation indexes for residential housing: A comment," Journal of Urban Economics, Elsevier, vol. 6(2), pages 267-271, April.
    5. Halvorsen, Robert & Pollakowski, Henry O., 1981. "Choice of functional form for hedonic price equations," Journal of Urban Economics, Elsevier, vol. 10(1), pages 37-49, July.
    6. A. Quang Do & G. Grudnitski, 1993. "A Neural Network Analysis of the Effect of Age on Housing Values," Journal of Real Estate Research, American Real Estate Society, vol. 8(2), pages 253-264.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    2. Sebastian Brandt & Wolfgang Maennig, 2012. "The impact of rail access on condominium prices in Hamburg," Transportation, Springer, vol. 39(5), pages 997-1017, September.
    3. Serim Huh & Seung-Jun Kwak, 1997. "The Choice of Functional Form and Variables in the Hedonic Price Model in Seoul," Urban Studies, Urban Studies Journal Limited, vol. 34(7), pages 989-998, June.
    4. Shimizu, Chihiro & Karato, Koji, 2016. "Property Price Index Theory and Estimation: A Survey," HIT-REFINED Working Paper Series 34, Institute of Economic Research, Hitotsubashi University.
    5. Allen C. Goodman & Masahiro Kawai, 1984. "Functional Form and Rental Housing Market Analysis," Urban Studies, Urban Studies Journal Limited, vol. 21(4), pages 367-376, November.
    6. Theodore M. Crone, 2006. "Capitalization of the quality of local public schools: what do home buyers value?," Working Papers 06-15, Federal Reserve Bank of Philadelphia.
    7. Denis Conniffe & David Duffy, 1999. "Irish House Price Indices — Methodological Issues," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 403-423.
    8. Hammes, Brian D., 1984. "Hedonic prices for farmland characteristics: an analysis of farm transactions prices for Iowa," ISU General Staff Papers 1984010108000017525, Iowa State University, Department of Economics.
    9. Uchenna N. Akpom, 1996. "Housing Attributes And The Cost Of Private Rental Buildings In Lagos Nigeria: A Hedonic Price Analysis," The Review of Regional Studies, Southern Regional Science Association, vol. 26(3), pages 351-365, Winter.
    10. Carroll, Robert & Yinger, John, 1994. "Is the Property Tax a Benefit Tax? The Case of Rental Housing," National Tax Journal, National Tax Association, vol. 47(2), pages 295-316, June.
    11. Hao Wu & Hongzan Jiao & Yang Yu & Zhigang Li & Zhenghong Peng & Lingbo Liu & Zheng Zeng, 2018. "Influence Factors and Regression Model of Urban Housing Prices Based on Internet Open Access Data," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    12. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    13. David Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, Taylor & Francis Journals, vol. 18(3), pages 395-413, January.
    14. Sebastian Brandt & Wolfgang Maennig & Felix Richter, 2013. "Do places of worship affect housing prices? Evidence from Germany," Working Papers 048, Chair for Economic Policy, University of Hamburg.
    15. Ginsburgh, Victor & Waelbroeck, Patrick, 1998. "The EC and real estate rents in Brussels," Regional Science and Urban Economics, Elsevier, vol. 28(4), pages 497-511, July.
    16. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March.
    17. James Bugden, 2013. "Renovations and the Repeat-Sales House Price Index," Working Papers 2013.08, School of Economics, La Trobe University.
    18. Philippe Thalmann, 1999. "Identifying Households which Need Housing Assistance," Urban Studies, Urban Studies Journal Limited, vol. 36(11), pages 1933-1947, October.
    19. Radmila Datsenko, 2013. "House Price Dynamics : The French Case," Post-Print halshs-03373717, HAL.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jre:issued:v:22:n:3:2001:p:313-336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: JRER Graduate Assistant/Webmaster (email available below). General contact details of provider: http://www.aresnet.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.